A primer on the different ways we can recommend items to customers. Content-based methods, collaborative filtering, hybrid methods - all included. I also discuss Light FM, a particularly cool hybrid method, that shines in cold start problems.

Attempting to model who said what, Jesse or Celine, using simple machine learning and Before Sunrise dialog.

We look at which words (and consequently topics) appear in plot summaries of Oscar-worthy films from 1928 to 2016.

Which group has the higher chance of surviving Survivor? Males, females, young, old? Is the era of Survivor (Old School vs. New School) a factor? Let's take Survivor as a case study of survival analysis and Kaplan-Meier curves.

Do underdogs often win The Amazing Race? Who are the most dominant teams? Let's number-crunch The Amazing Race to explore domination in the context of the show.

In this post we represent each season of Survivor as a weighted graph of alliances and use network-theoretic metrics to compare and contrast Borneo to Game Changers.